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Not All AI Subscriptions Are Built the Same

Why Am I Paying for AI if it Won’t Let Me Finish My Work?

Dear Frustrated,

You're not the only one asking this question. In fact, I've experienced exactly the same thing.

I use both ChatGPT and Claude nearly every day. When I'm developing ideas, researching, reasoning through problems, or writing first drafts, I spend most of my time in ChatGPT. I can work for hours without giving much thought to usage limits.

Claude is different. When I'm using Claude to produce one of my finished newsletters or another polished document, I've frequently been locked out before I'm finished. It's frustrating because it often happens right in the middle of my work — and instead of continuing my train of thought, I'm told I've reached my usage limit and need to wait.

It happened often enough that I eventually upgraded my Claude subscription and now spend about $145 per month just to reduce those interruptions. By comparison, I pay about $25 per month for ChatGPT Business. For the way I work, it has felt essentially unlimited. I can spend hours thinking, researching, writing, and refining ideas without worrying that I'll suddenly be unable to continue.

So, Why Are These Two Experiences So Different?

The answer isn't really about the AI. It's about the economics behind the AI.Every question you ask, every document you upload, and every response the AI creates requires computing power — and that computing power is incredibly expensive. The newest AI models require enormous amounts of specialized hardware, electricity, and infrastructure to generate every response you receive.

Not all AI models consume the same amount of computing power. Some models are designed for everyday work like writing emails, summarizing meetings, or brainstorming ideas. Others are built to tackle much more demanding work such as complex reasoning, deep research, advanced coding, or producing highly polished documents. The more capable the model, the more computing power it generally requires.

The question isn’t which AI is best. The question is whether you’re using a model that fits the work you’re doing.

That's why AI companies are beginning to offer families of models instead of a single model for everything. OpenAI's newest GPT-5.6 family, for example, gives users different choices depending on the balance they want between capability, speed, and cost. Instead of always using the most computationally expensive model, users can choose the one that best matches what they're doing. Most of us don't need the most powerful AI every time we ask a question. Sometimes we're writing an email. Sometimes we're analyzing a contract. Those aren't the same job.

More importantly, AI companies have made different business decisions about how they recover the cost of that computing power. Some subscriptions are designed so most business users can work for long periods without thinking about usage. Others manage those costs more aggressively by limiting usage on their most demanding models. Once you understand that, the different experiences begin to make sense.

How it Changed the Way I Work

Over time, I've stopped expecting one AI to do everything. Instead, I've found that each one has a role in my workflow.

My AI Workflow

ChatGPT — My Thinking Partner
It's where I spend most of my day. I use it to reason through ideas, explore different perspectives, research new topics, organize my thinking, and create first drafts. It's where I work through problems until I know what I want to say. For my Business account I don’t need to worry about the time I spend using ChaptGPT.

Claude — My Production Partner
Once I've developed the idea, I often move to Claude to produce the finished document. I find it particularly good at creating polished documents, preserving formatting, working with templates, and completing forms while maintaining the original layout. Claude is more expensive. So I use it where it makes sense.

That workflow has worked well for me. It also means I'm using each AI for the work it does and save the most expensive model for “specialized” work, instead of expecting one tool to do everything. You may discover that your own workflow is different — and that's okay. The lesson isn't that everyone should use the same tools I do.

The lesson is to understand what you're asking the AI to do. Claude measures by timed sessions. ChaptGPT does not. If you need more time with Claude you can increase the credits you pay for. Each model does have things it does best. Choose the right model for that work, and understand how your AI provider measures usage. That alone can save you both time and money.

One More Thing: Governance is Catching Up to Capability

As AI becomes more powerful, governance is becoming just as important as capability. Anthropic recently introduced a 30-day data retention policy for Claude Fable 5, its newest high-capability model. This means prompts and outputs are retained for 30 days on every platform where the model is offered — including AWS, Google Cloud, and Microsoft Foundry.

It's worth noting that this policy primarily affects organizations with zero data retention agreements, not individual subscribers on standard plans like Claude Pro or Max. However, the implications are significant enough that companies like Microsoft have already restricted employee access to Fable 5 while their legal teams evaluate the policy.

The Bigger Picture

The AI industry is changing fast. Just a year ago we were asking, 'What can AI do?' Today we're also asking: How much does it cost to use? Which model should I choose? How does it handle my company's data?

Those are good questions. Understanding the answers won't just help you choose an AI platform — they'll help you become a more effective AI user.

For me, the answer wasn't choosing one AI over another. It was learning which one I wanted sitting beside me at each stage of my work. That's a lesson that has made me more productive — and a lot less frustrated.

— Sue